from sklearn_benchmarks.reporting.hp_match import HPMatchReporting
import pandas as pd
pd.set_option('display.max_colwidth', None)
pd.set_option('display.max_columns', None)
pd.set_option('display.max_rows', None)
reporting = HPMatchReporting(against_lib="sklearnex", config="config.yml")
reporting.make_report()
We assume here there is a perfect match between the hyperparameters of both librairies. For a given set of parameters and a given dataset, we compute the speedup
time scikit-learn / time sklearnex. For instance, a speedup of 2 means that sklearnex is twice as fast as scikit-learn for a given set of parameters and a given dataset.
KNeighborsClassifier_brute_force¶scikit-learn-intelex (2021.20210705.191215) vs. scikit-learn (1.0.dev0)
All estimators share the following parameters: algorithm=brute.
| estimator | function | n_samples_train | n_samples | n_features | mean_duration_sklearn | std_duration_sklearn | n_iter | iteration_throughput | latency | n_jobs | n_neighbors | accuracy_score_sklearn | mean_duration_sklearnex | std_duration_sklearnex | accuracy_score_sklearnex | speedup | std_speedup | sklearn_profiling | sklearnex_profiling | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | KNeighborsClassifier_brute_force | fit | 100000 | 100000 | 100 | 0.011 | 0.0 | NaN | 7.107 | 0.0 | -1 | 1 | NaN | 0.048 | 0.002 | NaN | 0.235 | 0.235 | See | See |
| 3 | KNeighborsClassifier_brute_force | fit | 100000 | 100000 | 100 | 0.011 | 0.0 | NaN | 7.071 | 0.0 | -1 | 5 | NaN | 0.048 | 0.000 | NaN | 0.236 | 0.236 | See | See |
| 6 | KNeighborsClassifier_brute_force | fit | 100000 | 100000 | 100 | 0.011 | 0.0 | NaN | 7.099 | 0.0 | 1 | 100 | NaN | 0.047 | 0.000 | NaN | 0.238 | 0.238 | See | See |
| 9 | KNeighborsClassifier_brute_force | fit | 100000 | 100000 | 100 | 0.011 | 0.0 | NaN | 7.069 | 0.0 | -1 | 100 | NaN | 0.048 | 0.000 | NaN | 0.235 | 0.235 | See | See |
| 12 | KNeighborsClassifier_brute_force | fit | 100000 | 100000 | 100 | 0.011 | 0.0 | NaN | 6.998 | 0.0 | 1 | 5 | NaN | 0.047 | 0.000 | NaN | 0.243 | 0.243 | See | See |
| 15 | KNeighborsClassifier_brute_force | fit | 100000 | 100000 | 100 | 0.011 | 0.0 | NaN | 7.152 | 0.0 | 1 | 1 | NaN | 0.048 | 0.000 | NaN | 0.234 | 0.234 | See | See |
| 18 | KNeighborsClassifier_brute_force | fit | 100000 | 100000 | 2 | 0.004 | 0.0 | NaN | 0.375 | 0.0 | -1 | 1 | NaN | 0.009 | 0.000 | NaN | 0.491 | 0.491 | See | See |
| 21 | KNeighborsClassifier_brute_force | fit | 100000 | 100000 | 2 | 0.004 | 0.0 | NaN | 0.374 | 0.0 | -1 | 5 | NaN | 0.009 | 0.000 | NaN | 0.489 | 0.489 | See | See |
| 24 | KNeighborsClassifier_brute_force | fit | 100000 | 100000 | 2 | 0.005 | 0.0 | NaN | 0.355 | 0.0 | 1 | 100 | NaN | 0.009 | 0.000 | NaN | 0.518 | 0.518 | See | See |
| 27 | KNeighborsClassifier_brute_force | fit | 100000 | 100000 | 2 | 0.004 | 0.0 | NaN | 0.360 | 0.0 | -1 | 100 | NaN | 0.009 | 0.000 | NaN | 0.514 | 0.514 | See | See |
| 30 | KNeighborsClassifier_brute_force | fit | 100000 | 100000 | 2 | 0.005 | 0.0 | NaN | 0.344 | 0.0 | 1 | 5 | NaN | 0.009 | 0.000 | NaN | 0.534 | 0.534 | See | See |
| 33 | KNeighborsClassifier_brute_force | fit | 100000 | 100000 | 2 | 0.004 | 0.0 | NaN | 0.362 | 0.0 | 1 | 1 | NaN | 0.009 | 0.000 | NaN | 0.508 | 0.508 | See | See |
| estimator | function | n_samples_train | n_samples | n_features | mean_duration_sklearn | std_duration_sklearn | n_iter | iteration_throughput | latency | n_jobs | n_neighbors | accuracy_score_sklearn | mean_duration_sklearnex | std_duration_sklearnex | accuracy_score_sklearnex | speedup | std_speedup | sklearn_profiling | sklearnex_profiling | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | KNeighborsClassifier_brute_force | predict | 100000 | 1000 | 100 | 1.943 | 0.146 | NaN | 0.000 | 0.002 | -1 | 1 | 0.663 | 0.183 | 0.006 | 0.687 | 10.634 | 10.640 | See | See |
| 2 | KNeighborsClassifier_brute_force | predict | 100000 | 1 | 100 | 0.022 | 0.003 | NaN | 0.000 | 0.022 | -1 | 1 | 1.000 | 0.009 | 0.000 | 1.000 | 2.437 | 2.437 | See | See |
| 4 | KNeighborsClassifier_brute_force | predict | 100000 | 1000 | 100 | 2.772 | 0.033 | NaN | 0.000 | 0.003 | -1 | 5 | 0.757 | 0.182 | 0.002 | 0.742 | 15.251 | 15.252 | See | See |
| 5 | KNeighborsClassifier_brute_force | predict | 100000 | 1 | 100 | 0.023 | 0.002 | NaN | 0.000 | 0.023 | -1 | 5 | 1.000 | 0.009 | 0.000 | 1.000 | 2.552 | 2.552 | See | See |
| 7 | KNeighborsClassifier_brute_force | predict | 100000 | 1000 | 100 | 2.036 | 0.004 | NaN | 0.000 | 0.002 | 1 | 100 | 0.882 | 0.220 | 0.002 | 0.875 | 9.262 | 9.263 | See | See |
| 8 | KNeighborsClassifier_brute_force | predict | 100000 | 1 | 100 | 0.020 | 0.000 | NaN | 0.000 | 0.020 | 1 | 100 | 1.000 | 0.009 | 0.000 | 0.000 | 2.077 | 2.077 | See | See |
| 10 | KNeighborsClassifier_brute_force | predict | 100000 | 1000 | 100 | 2.832 | 0.032 | NaN | 0.000 | 0.003 | -1 | 100 | 0.882 | 0.226 | 0.012 | 0.875 | 12.537 | 12.556 | See | See |
| 11 | KNeighborsClassifier_brute_force | predict | 100000 | 1 | 100 | 0.024 | 0.002 | NaN | 0.000 | 0.024 | -1 | 100 | 1.000 | 0.010 | 0.001 | 0.000 | 2.514 | 2.524 | See | See |
| 13 | KNeighborsClassifier_brute_force | predict | 100000 | 1000 | 100 | 2.027 | 0.006 | NaN | 0.000 | 0.002 | 1 | 5 | 0.757 | 0.185 | 0.002 | 0.742 | 10.969 | 10.970 | See | See |
| 14 | KNeighborsClassifier_brute_force | predict | 100000 | 1 | 100 | 0.020 | 0.000 | NaN | 0.000 | 0.020 | 1 | 5 | 1.000 | 0.010 | 0.000 | 1.000 | 2.053 | 2.053 | See | See |
| 16 | KNeighborsClassifier_brute_force | predict | 100000 | 1000 | 100 | 1.166 | 0.010 | NaN | 0.001 | 0.001 | 1 | 1 | 0.663 | 0.181 | 0.002 | 0.687 | 6.435 | 6.435 | See | See |
| 17 | KNeighborsClassifier_brute_force | predict | 100000 | 1 | 100 | 0.019 | 0.001 | NaN | 0.000 | 0.019 | 1 | 1 | 1.000 | 0.009 | 0.000 | 1.000 | 2.084 | 2.084 | See | See |
| 19 | KNeighborsClassifier_brute_force | predict | 100000 | 1000 | 2 | 1.792 | 0.022 | NaN | 0.000 | 0.002 | -1 | 1 | 0.896 | 0.028 | 0.000 | 0.967 | 65.055 | 65.061 | See | See |
| 20 | KNeighborsClassifier_brute_force | predict | 100000 | 1 | 2 | 0.006 | 0.004 | NaN | 0.000 | 0.006 | -1 | 1 | 1.000 | 0.001 | 0.000 | 1.000 | 8.704 | 8.853 | See | See |
| 22 | KNeighborsClassifier_brute_force | predict | 100000 | 1000 | 2 | 2.918 | 0.079 | NaN | 0.000 | 0.003 | -1 | 5 | 0.922 | 0.028 | 0.000 | 0.974 | 103.529 | 103.543 | See | See |
| 23 | KNeighborsClassifier_brute_force | predict | 100000 | 1 | 2 | 0.006 | 0.002 | NaN | 0.000 | 0.006 | -1 | 5 | 1.000 | 0.001 | 0.000 | 1.000 | 9.332 | 9.416 | See | See |
| 25 | KNeighborsClassifier_brute_force | predict | 100000 | 1000 | 2 | 1.962 | 0.003 | NaN | 0.000 | 0.002 | 1 | 100 | 0.929 | 0.063 | 0.002 | 0.975 | 30.974 | 30.986 | See | See |
| 26 | KNeighborsClassifier_brute_force | predict | 100000 | 1 | 2 | 0.003 | 0.000 | NaN | 0.000 | 0.003 | 1 | 100 | 1.000 | 0.001 | 0.000 | 1.000 | 3.870 | 3.916 | See | See |
| 28 | KNeighborsClassifier_brute_force | predict | 100000 | 1000 | 2 | 3.036 | 0.073 | NaN | 0.000 | 0.003 | -1 | 100 | 0.929 | 0.064 | 0.001 | 0.975 | 47.291 | 47.296 | See | See |
| 29 | KNeighborsClassifier_brute_force | predict | 100000 | 1 | 2 | 0.010 | 0.003 | NaN | 0.000 | 0.010 | -1 | 100 | 1.000 | 0.001 | 0.000 | 1.000 | 12.577 | 12.712 | See | See |
| 31 | KNeighborsClassifier_brute_force | predict | 100000 | 1000 | 2 | 1.951 | 0.002 | NaN | 0.000 | 0.002 | 1 | 5 | 0.922 | 0.028 | 0.000 | 0.974 | 69.884 | 69.889 | See | See |
| 32 | KNeighborsClassifier_brute_force | predict | 100000 | 1 | 2 | 0.003 | 0.000 | NaN | 0.000 | 0.003 | 1 | 5 | 1.000 | 0.001 | 0.000 | 1.000 | 4.328 | 4.384 | See | See |
| 34 | KNeighborsClassifier_brute_force | predict | 100000 | 1000 | 2 | 1.076 | 0.003 | NaN | 0.000 | 0.001 | 1 | 1 | 0.896 | 0.027 | 0.000 | 0.967 | 40.083 | 40.088 | See | See |
| 35 | KNeighborsClassifier_brute_force | predict | 100000 | 1 | 2 | 0.002 | 0.000 | NaN | 0.000 | 0.002 | 1 | 1 | 1.000 | 0.001 | 0.000 | 1.000 | 2.569 | 2.605 | See | See |
KNeighborsClassifier_kd_tree¶scikit-learn-intelex (2021.20210705.191215) vs. scikit-learn (1.0.dev0)
All estimators share the following parameters: algorithm=kd_tree.
| estimator | function | n_samples_train | n_samples | n_features | mean_duration_sklearn | std_duration_sklearn | n_iter | iteration_throughput | latency | n_jobs | n_neighbors | accuracy_score_sklearn | mean_duration_sklearnex | std_duration_sklearnex | accuracy_score_sklearnex | speedup | std_speedup | sklearn_profiling | sklearnex_profiling | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | KNeighborsClassifier_kd_tree | fit | 1000000 | 1000000 | 10 | 3.780 | 0.017 | NaN | 0.021 | 0.0 | -1 | 1 | NaN | 0.790 | 0.069 | NaN | 4.783 | 4.802 | See | See |
| 3 | KNeighborsClassifier_kd_tree | fit | 1000000 | 1000000 | 10 | 4.420 | 0.043 | NaN | 0.018 | 0.0 | -1 | 5 | NaN | 0.778 | 0.012 | NaN | 5.683 | 5.683 | See | See |
| 6 | KNeighborsClassifier_kd_tree | fit | 1000000 | 1000000 | 10 | 4.479 | 0.059 | NaN | 0.018 | 0.0 | 1 | 100 | NaN | 0.758 | 0.011 | NaN | 5.912 | 5.912 | See | See |
| 9 | KNeighborsClassifier_kd_tree | fit | 1000000 | 1000000 | 10 | 4.193 | 0.119 | NaN | 0.019 | 0.0 | -1 | 100 | NaN | 0.780 | 0.008 | NaN | 5.379 | 5.379 | See | See |
| 12 | KNeighborsClassifier_kd_tree | fit | 1000000 | 1000000 | 10 | 3.923 | 0.068 | NaN | 0.020 | 0.0 | 1 | 5 | NaN | 0.768 | 0.015 | NaN | 5.108 | 5.109 | See | See |
| 15 | KNeighborsClassifier_kd_tree | fit | 1000000 | 1000000 | 10 | 4.046 | 0.054 | NaN | 0.020 | 0.0 | 1 | 1 | NaN | 0.775 | 0.011 | NaN | 5.223 | 5.224 | See | See |
| 18 | KNeighborsClassifier_kd_tree | fit | 1000 | 1000 | 2 | 0.001 | 0.001 | NaN | 0.021 | 0.0 | -1 | 1 | NaN | 0.003 | 0.002 | NaN | 0.238 | 0.280 | See | See |
| 21 | KNeighborsClassifier_kd_tree | fit | 1000 | 1000 | 2 | 0.001 | 0.000 | NaN | 0.031 | 0.0 | -1 | 5 | NaN | 0.002 | 0.001 | NaN | 0.260 | 0.324 | See | See |
| 24 | KNeighborsClassifier_kd_tree | fit | 1000 | 1000 | 2 | 0.001 | 0.000 | NaN | 0.031 | 0.0 | 1 | 100 | NaN | 0.001 | 0.001 | NaN | 0.509 | 0.570 | See | See |
| 27 | KNeighborsClassifier_kd_tree | fit | 1000 | 1000 | 2 | 0.001 | 0.000 | NaN | 0.031 | 0.0 | -1 | 100 | NaN | 0.001 | 0.000 | NaN | 0.564 | 0.565 | See | See |
| 30 | KNeighborsClassifier_kd_tree | fit | 1000 | 1000 | 2 | 0.001 | 0.000 | NaN | 0.031 | 0.0 | 1 | 5 | NaN | 0.001 | 0.000 | NaN | 0.574 | 0.575 | See | See |
| 33 | KNeighborsClassifier_kd_tree | fit | 1000 | 1000 | 2 | 0.001 | 0.000 | NaN | 0.031 | 0.0 | 1 | 1 | NaN | 0.001 | 0.000 | NaN | 0.612 | 0.612 | See | See |
| estimator | function | n_samples_train | n_samples | n_features | mean_duration_sklearn | std_duration_sklearn | n_iter | iteration_throughput | latency | n_jobs | n_neighbors | accuracy_score_sklearn | mean_duration_sklearnex | std_duration_sklearnex | accuracy_score_sklearnex | speedup | std_speedup | sklearn_profiling | sklearnex_profiling | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | KNeighborsClassifier_kd_tree | predict | 1000000 | 1000 | 10 | 0.864 | 1.007 | NaN | 0.000 | 0.001 | -1 | 1 | 0.929 | 0.124 | 0.003 | 0.910 | 6.960 | 6.962 | See | See |
| 2 | KNeighborsClassifier_kd_tree | predict | 1000000 | 1 | 10 | 0.003 | 0.001 | NaN | 0.000 | 0.003 | -1 | 1 | 1.000 | 0.000 | 0.000 | 1.000 | 11.931 | 12.817 | See | See |
| 4 | KNeighborsClassifier_kd_tree | predict | 1000000 | 1000 | 10 | 1.128 | 0.339 | NaN | 0.000 | 0.001 | -1 | 5 | 0.946 | 0.229 | 0.004 | 0.941 | 4.935 | 4.935 | See | See |
| 5 | KNeighborsClassifier_kd_tree | predict | 1000000 | 1 | 10 | 0.003 | 0.001 | NaN | 0.000 | 0.003 | -1 | 5 | 1.000 | 0.000 | 0.000 | 1.000 | 7.868 | 8.266 | See | See |
| 7 | KNeighborsClassifier_kd_tree | predict | 1000000 | 1000 | 10 | 5.869 | 0.340 | NaN | 0.000 | 0.006 | 1 | 100 | 0.951 | 0.661 | 0.004 | 0.940 | 8.884 | 8.884 | See | See |
| 8 | KNeighborsClassifier_kd_tree | predict | 1000000 | 1 | 10 | 0.003 | 0.001 | NaN | 0.000 | 0.003 | 1 | 100 | 1.000 | 0.001 | 0.000 | 1.000 | 4.041 | 4.256 | See | See |
| 10 | KNeighborsClassifier_kd_tree | predict | 1000000 | 1000 | 10 | 3.084 | 0.181 | NaN | 0.000 | 0.003 | -1 | 100 | 0.951 | 0.662 | 0.006 | 0.940 | 4.662 | 4.662 | See | See |
| 11 | KNeighborsClassifier_kd_tree | predict | 1000000 | 1 | 10 | 0.005 | 0.001 | NaN | 0.000 | 0.005 | -1 | 100 | 1.000 | 0.001 | 0.000 | 1.000 | 6.389 | 6.750 | See | See |
| 13 | KNeighborsClassifier_kd_tree | predict | 1000000 | 1000 | 10 | 1.792 | 0.289 | NaN | 0.000 | 0.002 | 1 | 5 | 0.946 | 0.241 | 0.005 | 0.941 | 7.429 | 7.430 | See | See |
| 14 | KNeighborsClassifier_kd_tree | predict | 1000000 | 1 | 10 | 0.002 | 0.000 | NaN | 0.000 | 0.002 | 1 | 5 | 1.000 | 0.000 | 0.000 | 1.000 | 3.572 | 3.895 | See | See |
| 16 | KNeighborsClassifier_kd_tree | predict | 1000000 | 1000 | 10 | 0.969 | 0.261 | NaN | 0.000 | 0.001 | 1 | 1 | 0.929 | 0.121 | 0.001 | 0.910 | 8.017 | 8.018 | See | See |
| 17 | KNeighborsClassifier_kd_tree | predict | 1000000 | 1 | 10 | 0.001 | 0.000 | NaN | 0.000 | 0.001 | 1 | 1 | 1.000 | 0.000 | 0.000 | 1.000 | 3.675 | 3.960 | See | See |
| 19 | KNeighborsClassifier_kd_tree | predict | 1000 | 1000 | 2 | 0.025 | 0.010 | NaN | 0.001 | 0.000 | -1 | 1 | 0.891 | 0.000 | 0.000 | 0.879 | 65.506 | 66.056 | See | See |
| 20 | KNeighborsClassifier_kd_tree | predict | 1000 | 1 | 2 | 0.002 | 0.000 | NaN | 0.000 | 0.002 | -1 | 1 | 1.000 | 0.000 | 0.000 | 1.000 | 24.071 | 25.021 | See | See |
| 22 | KNeighborsClassifier_kd_tree | predict | 1000 | 1000 | 2 | 0.025 | 0.001 | NaN | 0.001 | 0.000 | -1 | 5 | 0.911 | 0.001 | 0.000 | 0.905 | 38.706 | 38.747 | See | See |
| 23 | KNeighborsClassifier_kd_tree | predict | 1000 | 1 | 2 | 0.002 | 0.000 | NaN | 0.000 | 0.002 | -1 | 5 | 1.000 | 0.000 | 0.000 | 1.000 | 24.766 | 26.480 | See | See |
| 25 | KNeighborsClassifier_kd_tree | predict | 1000 | 1000 | 2 | 0.036 | 0.008 | NaN | 0.000 | 0.000 | 1 | 100 | 0.894 | 0.005 | 0.000 | 0.917 | 8.019 | 8.020 | See | See |
| 26 | KNeighborsClassifier_kd_tree | predict | 1000 | 1 | 2 | 0.001 | 0.000 | NaN | 0.000 | 0.001 | 1 | 100 | 1.000 | 0.000 | 0.000 | 1.000 | 6.136 | 6.566 | See | See |
| 28 | KNeighborsClassifier_kd_tree | predict | 1000 | 1000 | 2 | 0.038 | 0.005 | NaN | 0.000 | 0.000 | -1 | 100 | 0.894 | 0.005 | 0.002 | 0.917 | 7.376 | 7.947 | See | See |
| 29 | KNeighborsClassifier_kd_tree | predict | 1000 | 1 | 2 | 0.002 | 0.000 | NaN | 0.000 | 0.002 | -1 | 100 | 1.000 | 0.000 | 0.000 | 1.000 | 21.885 | 22.958 | See | See |
| 31 | KNeighborsClassifier_kd_tree | predict | 1000 | 1000 | 2 | 0.020 | 0.000 | NaN | 0.001 | 0.000 | 1 | 5 | 0.911 | 0.001 | 0.000 | 0.905 | 31.682 | 31.724 | See | See |
| 32 | KNeighborsClassifier_kd_tree | predict | 1000 | 1 | 2 | 0.001 | 0.000 | NaN | 0.000 | 0.001 | 1 | 5 | 1.000 | 0.000 | 0.000 | 1.000 | 6.807 | 7.149 | See | See |
| 34 | KNeighborsClassifier_kd_tree | predict | 1000 | 1000 | 2 | 0.019 | 0.000 | NaN | 0.001 | 0.000 | 1 | 1 | 0.891 | 0.000 | 0.000 | 0.879 | 49.441 | 49.892 | See | See |
| 35 | KNeighborsClassifier_kd_tree | predict | 1000 | 1 | 2 | 0.001 | 0.000 | NaN | 0.000 | 0.001 | 1 | 1 | 1.000 | 0.000 | 0.000 | 1.000 | 6.436 | 6.774 | See | See |
KMeans_tall¶scikit-learn-intelex (2021.20210705.191215) vs. scikit-learn (1.0.dev0)
All estimators share the following parameters: algorithm=full, n_clusters=3, max_iter=30, n_init=1, tol=1e-16.
| estimator | function | n_samples_train | n_samples | n_features | mean_duration_sklearn | std_duration_sklearn | n_iter | iteration_throughput | latency | init | adjusted_rand_score_sklearn | mean_duration_sklearnex | std_duration_sklearnex | adjusted_rand_score_sklearnex | speedup | std_speedup | sklearn_profiling | sklearnex_profiling | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | KMeans_tall | fit | 1000000 | 1000000 | 2 | 0.538 | 0.108 | 30 | 0.030 | 0.0 | random | NaN | 0.390 | 0.027 | NaN | 1.380 | 1.383 | See | See |
| 3 | KMeans_tall | fit | 1000000 | 1000000 | 2 | 0.583 | 0.038 | 30 | 0.027 | 0.0 | k-means++ | NaN | 0.414 | 0.026 | NaN | 1.408 | 1.411 | See | See |
| 6 | KMeans_tall | fit | 1000000 | 1000000 | 100 | 5.759 | 0.204 | 30 | 0.139 | 0.0 | random | NaN | 2.730 | 0.028 | NaN | 2.109 | 2.109 | See | See |
| 9 | KMeans_tall | fit | 1000000 | 1000000 | 100 | 5.912 | 0.028 | 30 | 0.135 | 0.0 | k-means++ | NaN | 3.147 | 0.087 | NaN | 1.878 | 1.879 | See | See |
| estimator | function | n_samples_train | n_samples | n_features | mean_duration_sklearn | std_duration_sklearn | n_iter | iteration_throughput | latency | init | adjusted_rand_score_sklearn | mean_duration_sklearnex | std_duration_sklearnex | adjusted_rand_score_sklearnex | speedup | std_speedup | sklearn_profiling | sklearnex_profiling | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | KMeans_tall | predict | 1000000 | 1000 | 2 | 0.002 | 0.001 | 30 | 0.009 | 0.000 | random | 0.001 | 0.0 | 0.0 | 0.001 | 9.283 | 15.508 | See | See |
| 2 | KMeans_tall | predict | 1000000 | 1 | 2 | 0.001 | 0.000 | 30 | 0.000 | 0.001 | random | 1.000 | 0.0 | 0.0 | 1.000 | 8.623 | 13.784 | See | See |
| 4 | KMeans_tall | predict | 1000000 | 1000 | 2 | 0.001 | 0.000 | 30 | 0.011 | 0.000 | k-means++ | 0.001 | 0.0 | 0.0 | 0.001 | 11.144 | 13.113 | See | See |
| 5 | KMeans_tall | predict | 1000000 | 1 | 2 | 0.001 | 0.000 | 30 | 0.000 | 0.001 | k-means++ | 1.000 | 0.0 | 0.0 | 1.000 | 14.749 | 15.334 | See | See |
| 7 | KMeans_tall | predict | 1000000 | 1000 | 100 | 0.002 | 0.000 | 30 | 0.478 | 0.000 | random | 0.002 | 0.0 | 0.0 | 0.002 | 7.074 | 7.773 | See | See |
| 8 | KMeans_tall | predict | 1000000 | 1 | 100 | 0.001 | 0.000 | 30 | 0.001 | 0.001 | random | 1.000 | 0.0 | 0.0 | 1.000 | 13.847 | 14.300 | See | See |
| 10 | KMeans_tall | predict | 1000000 | 1000 | 100 | 0.002 | 0.000 | 30 | 0.451 | 0.000 | k-means++ | 0.002 | 0.0 | 0.0 | 0.001 | 7.571 | 8.218 | See | See |
| 11 | KMeans_tall | predict | 1000000 | 1 | 100 | 0.001 | 0.000 | 30 | 0.001 | 0.001 | k-means++ | 1.000 | 0.0 | 0.0 | 1.000 | 13.085 | 13.335 | See | See |
KMeans_short¶scikit-learn-intelex (2021.20210705.191215) vs. scikit-learn (1.0.dev0)
All estimators share the following parameters: algorithm=full, n_clusters=300, max_iter=20, n_init=1, tol=1e-16.
| estimator | function | n_samples_train | n_samples | n_features | mean_duration_sklearn | std_duration_sklearn | n_iter | iteration_throughput | latency | init | adjusted_rand_score_sklearn | mean_duration_sklearnex | std_duration_sklearnex | adjusted_rand_score_sklearnex | speedup | std_speedup | sklearn_profiling | sklearnex_profiling | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | KMeans_short | fit | 10000 | 10000 | 2 | 0.075 | 0.001 | 20 | 0.002 | 0.0 | random | NaN | 0.029 | 0.004 | NaN | 2.644 | 2.670 | See | See |
| 3 | KMeans_short | fit | 10000 | 10000 | 2 | 0.211 | 0.002 | 20 | 0.001 | 0.0 | k-means++ | NaN | 0.081 | 0.000 | NaN | 2.587 | 2.587 | See | See |
| 6 | KMeans_short | fit | 10000 | 10000 | 100 | 0.211 | 0.006 | 20 | 0.038 | 0.0 | random | NaN | 0.111 | 0.002 | NaN | 1.900 | 1.900 | See | See |
| 9 | KMeans_short | fit | 10000 | 10000 | 100 | 0.576 | 0.008 | 20 | 0.014 | 0.0 | k-means++ | NaN | 0.319 | 0.003 | NaN | 1.805 | 1.805 | See | See |
| estimator | function | n_samples_train | n_samples | n_features | mean_duration_sklearn | std_duration_sklearn | n_iter | iteration_throughput | latency | init | adjusted_rand_score_sklearn | mean_duration_sklearnex | std_duration_sklearnex | adjusted_rand_score_sklearnex | speedup | std_speedup | sklearn_profiling | sklearnex_profiling | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | KMeans_short | predict | 10000 | 1000 | 2 | 0.002 | 0.0 | 20 | 0.009 | 0.000 | random | 0.000 | 0.000 | 0.0 | -0.001 | 4.028 | 4.050 | See | See |
| 2 | KMeans_short | predict | 10000 | 1 | 2 | 0.001 | 0.0 | 20 | 0.000 | 0.001 | random | 1.000 | 0.000 | 0.0 | 1.000 | 13.801 | 14.180 | See | See |
| 4 | KMeans_short | predict | 10000 | 1000 | 2 | 0.002 | 0.0 | 20 | 0.009 | 0.000 | k-means++ | 0.001 | 0.000 | 0.0 | -0.001 | 3.760 | 3.790 | See | See |
| 5 | KMeans_short | predict | 10000 | 1 | 2 | 0.001 | 0.0 | 20 | 0.000 | 0.001 | k-means++ | 1.000 | 0.000 | 0.0 | 1.000 | 12.520 | 12.955 | See | See |
| 7 | KMeans_short | predict | 10000 | 1000 | 100 | 0.003 | 0.0 | 20 | 0.308 | 0.000 | random | 0.279 | 0.001 | 0.0 | 0.294 | 2.725 | 2.736 | See | See |
| 8 | KMeans_short | predict | 10000 | 1 | 100 | 0.001 | 0.0 | 20 | 0.001 | 0.001 | random | 1.000 | 0.000 | 0.0 | 1.000 | 11.343 | 11.512 | See | See |
| 10 | KMeans_short | predict | 10000 | 1000 | 100 | 0.003 | 0.0 | 20 | 0.313 | 0.000 | k-means++ | 0.317 | 0.001 | 0.0 | 0.257 | 2.583 | 2.596 | See | See |
| 11 | KMeans_short | predict | 10000 | 1 | 100 | 0.001 | 0.0 | 20 | 0.001 | 0.001 | k-means++ | 1.000 | 0.000 | 0.0 | 1.000 | 10.890 | 11.250 | See | See |
LogisticRegression¶scikit-learn-intelex (2021.20210705.191215) vs. scikit-learn (1.0.dev0)
All estimators share the following parameters: penalty=l2, dual=False, tol=0.0001, C=1.0, fit_intercept=True, intercept_scaling=1, class_weight=nan, random_state=nan, solver=lbfgs, max_iter=100, multi_class=auto, verbose=0, warm_start=False, n_jobs=nan, l1_ratio=nan.
| estimator | function | n_samples_train | n_samples | n_features | mean_duration_sklearn | std_duration_sklearn | n_iter | iteration_throughput | latency | class_weight | l1_ratio | n_jobs | random_state | accuracy_score_sklearn | mean_duration_sklearnex | std_duration_sklearnex | accuracy_score_sklearnex | speedup | std_speedup | sklearn_profiling | sklearnex_profiling | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | LogisticRegression | fit | 1000000 | 1000000 | 100 | 11.108 | 0.481 | [20] | 0.072 | 0.000 | NaN | NaN | NaN | NaN | NaN | 2.051 | 0.036 | NaN | 5.415 | 5.416 | See | See |
| 3 | LogisticRegression | fit | 1000 | 1000 | 10000 | 0.943 | 0.506 | [26] | 0.085 | 0.001 | NaN | NaN | NaN | NaN | NaN | 1.016 | 0.029 | NaN | 0.928 | 0.928 | See | See |
| estimator | function | n_samples_train | n_samples | n_features | mean_duration_sklearn | std_duration_sklearn | n_iter | iteration_throughput | latency | class_weight | l1_ratio | n_jobs | random_state | accuracy_score_sklearn | mean_duration_sklearnex | std_duration_sklearnex | accuracy_score_sklearnex | speedup | std_speedup | sklearn_profiling | sklearnex_profiling | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | LogisticRegression | predict | 1000000 | 1000 | 100 | 0.000 | 0.001 | [20] | 1.950 | 0.0 | NaN | NaN | NaN | NaN | 0.56 | 0.001 | 0.001 | 0.55 | 0.679 | 1.283 | See | See |
| 2 | LogisticRegression | predict | 1000000 | 1 | 100 | 0.000 | 0.000 | [20] | 0.017 | 0.0 | NaN | NaN | NaN | NaN | 1.00 | 0.000 | 0.000 | 1.00 | 0.349 | 0.357 | See | See |
| 4 | LogisticRegression | predict | 1000 | 100 | 10000 | 0.002 | 0.000 | [26] | 5.114 | 0.0 | NaN | NaN | NaN | NaN | 0.35 | 0.005 | 0.001 | 0.28 | 0.343 | 0.359 | See | See |
| 5 | LogisticRegression | predict | 1000 | 1 | 10000 | 0.000 | 0.000 | [26] | 0.870 | 0.0 | NaN | NaN | NaN | NaN | 0.00 | 0.001 | 0.000 | 0.00 | 0.128 | 0.140 | See | See |
Ridge¶scikit-learn-intelex (2021.20210705.191215) vs. scikit-learn (1.0.dev0)
All estimators share the following parameters: alpha=1.0, fit_intercept=True, normalize=deprecated, copy_X=True, max_iter=nan, tol=0.001, solver=auto, random_state=nan.
| estimator | function | n_samples_train | n_samples | n_features | mean_duration_sklearn | std_duration_sklearn | n_iter | iteration_throughput | latency | max_iter | random_state | r2_score_sklearn | mean_duration_sklearnex | std_duration_sklearnex | r2_score_sklearnex | speedup | std_speedup | sklearn_profiling | sklearnex_profiling | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | Ridge | fit | 1000 | 1000 | 10000 | 0.176 | 0.003 | NaN | 0.454 | 0.0 | NaN | NaN | NaN | 0.181 | 0.002 | NaN | 0.972 | 0.973 | See | See |
| 3 | Ridge | fit | 1000000 | 1000000 | 100 | 1.140 | 0.082 | NaN | 0.702 | 0.0 | NaN | NaN | NaN | 0.308 | 0.250 | NaN | 3.700 | 4.769 | See | See |
| estimator | function | n_samples_train | n_samples | n_features | mean_duration_sklearn | std_duration_sklearn | n_iter | iteration_throughput | latency | max_iter | random_state | r2_score_sklearn | mean_duration_sklearnex | std_duration_sklearnex | r2_score_sklearnex | speedup | std_speedup | sklearn_profiling | sklearnex_profiling | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Ridge | predict | 1000 | 1000 | 10000 | 0.012 | 0.0 | NaN | 6.548 | 0.0 | NaN | NaN | 0.083 | 0.019 | 0.0 | 0.122 | 0.627 | 0.627 | See | See |
| 2 | Ridge | predict | 1000 | 1 | 10000 | 0.000 | 0.0 | NaN | 1.448 | 0.0 | NaN | NaN | NaN | 0.000 | 0.0 | NaN | 0.586 | 0.638 | See | See |
| 4 | Ridge | predict | 1000000 | 1000 | 100 | 0.000 | 0.0 | NaN | 6.034 | 0.0 | NaN | NaN | 1.000 | 0.000 | 0.0 | 1.000 | 0.448 | 0.694 | See | See |
| 5 | Ridge | predict | 1000000 | 1 | 100 | 0.000 | 0.0 | NaN | 0.018 | 0.0 | NaN | NaN | NaN | 0.000 | 0.0 | NaN | 0.573 | 0.603 | See | See |